Senior AI Engineer
The role focuses on building and scaling enterprise-ready AI systems that power intelligent automation and decision-making. Core responsibilities center around advancing agentic AI workflows and creating the frameworks, services, and tools that transform foundation models into reliable, production-grade applications.
Responsibilities:
- Define platform architecture by designing APIs, orchestration patterns, and policy frameworks that scale across diverse enterprise use cases.
- Standardize and automate agentic workflows, establishing best practices and evaluating emerging approaches to meet enterprise requirements.
- Enhance developer experience by delivering SDKs, CLIs, and starter kits that accelerate the journey from prototype to production.
- Apply expertise in autonomous workflows, including retrieval-augmented generation (RAG), reasoning-based orchestration, and task automation.
- Drive performance and cost efficiency through techniques such as caching, batching, and system-level tuning.
- Mentor engineers, document best practices, and contribute to technical knowledge-sharing across teams.
Basic Qualifications:
- Bachelor’s in Computer Science, Engineering, AI, or related field with 5+ years of AI/ML experience, or Master’s with 3+ years.
- 5+ years of Python programming experience.
Preferred Qualifications:
- 3+ years deploying scalable AI solutions on cloud platforms (AWS, GCP, Azure, Databricks, etc.).
- 2+ years with agentic AI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).
- 2+ years with MLOps tools and CI/CD.
- 2+ years designing and supporting complex AI systems.
- Proven leadership, mentoring, and strong communication skills.
